_base_ = "faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py"

# learning policy
lr_config = dict(
    policy="step",
    warmup="linear",
    warmup_iters=500,
    warmup_ratio=0.001,
    step=[60000, 80000],
)

# Runner type
runner = dict(_delete_=True, type="IterBasedRunner", max_iters=90000)

checkpoint_config = dict(interval=10000)
evaluation = dict(interval=10000, metric="bbox")
